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Introduction

The official mere.run plugins turn local model commands into repeatable production workflows. They are normal companion executables discovered through the live plugin catalog; they are not dynamically loaded into the core process.

What plugins add

Plugins cover the work around inference:

  • validate tools, inputs, credentials, and output locations;
  • write an inspectable plan before execution;
  • call the installed mere.run runtime for canonical model behavior;
  • coordinate local tools or user-controlled providers;
  • record artifacts, hashes, status, and cleanup in run.json;
  • expose JSON-friendly command surfaces for agents and pipelines.

What stays in core

Model discovery, download, loading, and native inference remain in mere.run. A plugin may select and compose core commands, but it must not ship a parallel model runtime or turn the core CLI into a hosted service.

The product surface

The catalog currently contains 12 official commands across five outcomes:

OutcomePlugins
CreateVFX Tools, Image Tools, Image Compose
PerformPerform
ProduceAnimatic Tools, ShotGrid Tools, Dataset Tools
ProtectDocument Tools, Media Scrub, Transcript Tools
ScaleRunPod Runner, Batch Runner

See Choose a plugin for task-based routing or All plugins for the complete catalog.

Design promises

  • Local workflows remain local.
  • Provider resources remain in the user's account.
  • Paid work is visible in a plan before it starts.
  • Remote resources terminate by default.
  • JSON output stays on stdout; diagnostics go to stderr.
  • A durable run manifest connects inputs, execution, artifacts, and cleanup.

Next: install and run a first plugin.

Official companion plugins for the local mere.run runtime.